Senior Data Scientist

nCino; Lehi (UT); On-site; USD 107,900 - 183,400; Full time

Job summary

nCino is seeking a Senior Data Scientist to build intelligent automation and insights for its cloud platform. You will collaborate with cross‑functional stakeholders to identify high‑impact challenges, analyze complex datasets, and develop, deploy, and monitor data‑driven solutions.

The role emphasizes building ML models, deploying them in production, and guiding best practices while leveraging AI tools to improve development efficiency and product quality.

Qualifications

• Undergraduate degree in data-related field with 5+ years experience or equivalent.
• Proficiency in Python or R.
• Experience with data visualization tools (DOMO, AWS QuickSight, Tableau).
• Mastery of machine‑learning algorithms and techniques.
• Strong problem‑solving skills and ability to work independently and collaboratively.
• Strong experience with SQL or noSQL databases.
• Experience deploying and monitoring models in production.
• Ability to translate business questions into analytics projects.
• Familiar with production code practices (unit testing, OOP, logging, version control).

Responsibilities

• Apply advanced knowledge in building large‑scale ML, predictive modeling, and analytics tools.
• Create ML models tailored to solve business problems.
• Work with large data sets and algorithms across multiple data sources.
• Develop, deploy, and monitor complex ML models.
• Lead teams in programming best practices and emerging technologies.
• Leverage AI tools to enhance software development (code generation, testing, debugging, optimization).
• Use AI/ML insights to identify patterns and automate repetitive tasks.
• Evaluate and integrate AI/ML capabilities to strengthen product functionality and UX.

Skills

Python or R mastery

Machine learning algorithms

Problem solving

Communication skills

Translate business questions

Production code practices

Education

Undergraduate degree in Data Science/CS/Stats/Math

5+ years experience or equivalent

Advanced degree (desirable)

Tools

SQL

noSQL databases

DOMO

AWS QuickSight

Tableau

Databricks

MLflow

Lambda

SageMaker

Job description

Senior Data Scientist – Overview

nCino’s Data & AI team is seeking a Senior Data Scientist to build intelligent automation and insights for our global cloud banking platform. The role collaborates with cross‑functional stakeholders to identify high‑impact business challenges, analyze complex datasets, and develop, deploy, and monitor data‑driven solutions.

Essential Functions

• Apply advanced knowledge in building large‑scale machine learning, predictive modeling, and analytics tools.
• Proficiently create machine learning models tailored to solve business problems.
• Work with large data sets and algorithms across multiple data sources.
• Acquire domain knowledge of the business to inform model development and problem‑solving.
• Develop, deploy, and monitor complex machine learning models.
• Lead teams in implementing programming best practices and adopting emerging technologies.
• Leverage AI tools to enhance software development activities (code generation, testing, debugging, optimization).
• Use AI/ML insights to identify patterns, automate repetitive tasks, and improve development efficiency and product quality.
• Evaluate and integrate AI/ML capabilities to strengthen product functionality and user experience.
• Maintain awareness of emerging AI trends and best practices to drive continuous learning and innovation.

Qualifications – Required

• Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field with 5+ years of experience, or equivalent education/experience combination.
• Mastery of programming in Python or R.
• Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.).
• Mastery of machine‑learning algorithms and techniques.
• Strong problem‑solving skills and ability to work independently and collaboratively.
• Strong experience with SQL or noSQL database management systems.
• Experience deploying and monitoring models in production.
• Strong understanding of business domain and ability to translate business questions into analytics projects.
• Flexibility and the ability to be productive in a fast‑paced, team environment.
• Excellent verbal and written communication skills for technical and non‑technical audiences.
• Familiarity with production code practices (unit testing, OOP, error handling, logging, contract testing, version control).

Qualifications – Desired

• Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Experience developing and deploying models using Databricks and MLflow.
• Experience with AWS tools and services (Lambda, SageMaker, S3, Athena, Quicksight).
• Experience with Agile software development.

Pay Range

Base salary range: $107,900.00 – $183,400.00. The range reflects the minimum and maximum for each posting and is used to determine new hire rates. Total compensation may include additional components.

Equal Employment Opportunity

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics, or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other employment benefits and privileges, please contact [e-mail].

We strive to create workplaces where employees are empowered to bring their authentic selves to work.